Title: The new TOPCO hybrid algorithm to solve multi-objective optimisation problems: the integrated stochastic problem of production-distribution planning in the supply chain

Authors: Elham Shadkam; Shahrzad Khajooei; Reza Rajabi

Addresses: Department of Industrial Engineering, Faculty of Engineering, Khayyam University, Mashhad, Iran ' Department of Industrial Engineering, Faculty of Engineering, Khayyam University, Mashhad, Iran ' Department of Industrial Engineering, Faculty of Engineering, Khayyam University, Mashhad, Iran

Abstract: This paper presents a new hybrid algorithm to solve multi-objective optimisation problems called TOPCO which has been implemented on the integrated stochastic problem of production-distribution planning in the supply chain. The proposed TOPCO hybrid algorithm is a combination of the TOPSIS algorithm and the cuckoo optimisation algorithm and is therefore named TOPCO. The cuckoo optimisation algorithm is unable to solve multi-objective problems that can be easily used for multi-objective problems using the proposed hybrid approach. The multi-objective problem under study includes an integrated model of production and distribution planning with many stochastic parameters. The speed and accuracy of the results obtained from the implementation of the proposed TOPCO algorithm on the supply chain problem show the efficiency of the algorithm in solving multi-objective problems and this algorithm can well identify the Pareto frontier of the problem. Also, due to the use of the cuckoo optimisation algorithm, the proposed TOPCO algorithm can be used in large-scale problems.

Keywords: cuckoo optimisation algorithm; COA; TOPSIS; multi-objective problem; supply chain problem; TOPCO hybrid algorithm.

DOI: 10.1504/IJCSYSE.2021.113269

International Journal of Computational Systems Engineering, 2021 Vol.6 No.3, pp.143 - 157

Received: 05 Dec 2020
Accepted: 26 Dec 2020
Published online: 25 Feb 2021 *

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